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The large-scale pretrained model CLIP, trained on 400 million image-text pairs, offers a promising paradigm for tackling vision tasks, albeit at the image level. Later works, such as DenseCLIP and LSeg, extend this paradigm to dense…

Computer Vision and Pattern Recognition · Computer Science 2023-10-12 Ke Jin , Wankou Yang

We introduce and study single-conclusioned nested sequent calculi for a broad class of intuitionistic multi-modal logics known as "intuitionistic grammar logics (IGLs)." These logics serve as the intuitionistic counterparts of classical…

Logic in Computer Science · Computer Science 2026-05-06 Tim S. Lyon

One of the basic sanity properties of a behavioural semantics is that it constitutes a congruence with respect to standard process operators. This issue has been traditionally addressed by the development of rule formats for transition…

Logic in Computer Science · Computer Science 2010-08-13 Maciej Gazda , Wan Fokkink

Existing semantic segmentation approaches are often limited by costly pixel-wise annotations and predefined classes. In this work, we present CLIP-S$^4$ that leverages self-supervised pixel representation learning and vision-language models…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Wenbin He , Suphanut Jamonnak , Liang Gou , Liu Ren

We propose Context-Adaptive Multi-Prompt Embedding, a novel approach to enrich semantic representations in vision-language contrastive learning. Unlike standard CLIP-style models that rely on a single text embedding, our method introduces…

Machine Learning · Computer Science 2025-08-07 Dahun Kim , Anelia Angelova

We investigate the expressive power of regular expressions for languages of countable words and establish their expressive equivalence with logical and algebraic characterizations. Our goal is to extend the classical theory of regular…

Logic in Computer Science · Computer Science 2025-05-05 Thomas Colcombet , A V Sreejith

This paper describes an automatic word classification system which uses a locally optimal annealing algorithm and average class mutual information. A new word-class representation, the structural tag is introduced and its advantages for use…

cmp-lg · Computer Science 2008-02-03 John McMahon , F. J. Smith

We investigate the state complexity of the upward and downward closure and interior operations on commutative regular languages. Then, we systematically study the state complexity of these operations and of the shuffle operation on…

Formal Languages and Automata Theory · Computer Science 2021-11-29 Stefan Hoffmann

It is fairly easy to show that every regular set is an almost-confluent congruential language (ACCL), and it is known that every regular set is a Church-Rosser congruential language (CRCL). Whether there exists an ACCL, which is not a CRCL,…

Logic in Computer Science · Computer Science 2014-12-03 Colm Ó Dúnlaing

Much of the power of probabilistic methods in modelling language comes from their ability to compare several derivations for the same string in the language. An important starting point for the study of such cross-derivational properties is…

Computation and Language · Computer Science 2007-05-23 Anoop Sarkar

Separation is a classical problem asking whether, given two sets belonging to some class, it is possible to separate them by a set from a smaller class. We discuss the separation problem for regular languages. We give a Ptime algorithm to…

Formal Languages and Automata Theory · Computer Science 2013-04-26 Thomas Place , Lorijn van Rooijen , Marc Zeitoun

We introduce here the notion of syntactic lattice algebra which is an analogy of the syntactic monoid and of the syntactic semiring. We present a unified approach to get those three structures.

Formal Languages and Automata Theory · Computer Science 2017-11-30 Ondřej Klíma , Libor Polák

We consider a novel clustering task in which clusters can have compositional relationships, e.g., one cluster contains images of rectangles, one contains images of circles, and a third (compositional) cluster contains images with both…

Machine Learning · Computer Science 2023-08-04 Zeqian Li , Xinlu He , Jacob Whitehill

We study the state complexity of regular operations in the class of ideal languages. A language L over an alphabet Sigma is a right (left) ideal if it satisfies L = L Sigma* (L = Sigma* L). It is a two-sided ideal if L = Sigma* L Sigma *,…

Formal Languages and Automata Theory · Computer Science 2009-08-17 J. Brzozowski , G. Jirásková , B. Li

Vision-Language Pretraining (VLP) has achieved remarkable success across various downstream tasks, but such gains are largely driven by scaling up on training data. Yet, literature methods treat image-text pairs as isolated training…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Wenbo Lu

Confluence of a nondeterministic program ensures a functional input-output relation, freeing the programmer from considering the actual scheduling strategy, and allowing optimized and perhaps parallel implementations. The more general…

Programming Languages · Computer Science 2018-09-14 Henning Christiansen , Maja Kirkeby

Linguine is a natural-language-inspired programming language that enables users to write programs in a fluent, controlled subset of English while preserving formal semantics. The language introduces anaphoric constructs, such as pronoun…

Programming Languages · Computer Science 2025-06-11 Lifan Hu

Rational word languages can be defined by several equivalent means: finite state automata, rational expressions, finite congruences, or monadic second-order (MSO) logic. The robust subclass of aperiodic languages is defined by: counter-free…

Logic in Computer Science · Computer Science 2023-06-22 Emmanuel Filiot , Olivier Gauwin , Nathan Lhote

In this project, we demonstrate that phoneme-based models for speech processing can achieve strong crosslinguistic generalizability to unseen languages. We curated the IPAPACK, a massively multilingual speech corpora with phonemic…

Computation and Language · Computer Science 2024-04-03 Jian Zhu , Changbing Yang , Farhan Samir , Jahurul Islam

Natural languages are complexly structured entities. They exhibit characterising regularities that can be exploited to link them one another. In this work, I compare two morphological aspects of languages: Written Patterns and Sentence…

Computation and Language · Computer Science 2019-07-09 Alberto Calderone
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